{"id":"W4403657817","doi":"10.1039/d4se00878b","title":"Biocrude production <i>via</i> hydrothermal liquefaction of Canadian lignocellulosic residues for sustainable transportation: screening, catalytic effect, and modelling","year":2024,"lang":"en","type":"article","venue":"Sustainable Energy & Fuels","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrothermal liquefaction; Liquefaction; Production (economics); Catalysis; Hydrothermal circulation; Sustainable production; Waste management; Chemistry; Environmental science; Chemical engineering; Pulp and paper industry; Engineering; Organic chemistry; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002349464,0.0002457962,0.0002407442,0.0007111445,0.0001448565,0.00007544213,0.0001141494,0.0001668518,0.00001823452],"category_scores_gemma":[0.00002514776,0.0002566449,0.0000803163,0.0008687461,0.00006654629,0.0005898196,0.000007913887,0.0001151599,0.000001079425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002202003,"about_ca_system_score_gemma":0.000157691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02741397,"about_ca_topic_score_gemma":0.002082998,"domain_scores_codex":[0.9986029,0.00001440391,0.0002785224,0.0003690666,0.0001446479,0.0005905165],"domain_scores_gemma":[0.9993049,0.00007601877,0.00003718714,0.0001830365,0.0002292973,0.0001695719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000583077,0.00007736719,0.0003128381,0.05449272,0.0009002378,0.0006032964,0.002888573,0.2448584,0.5990419,0.06073307,0.007812177,0.0276963],"study_design_scores_gemma":[0.0001929039,0.0001057775,0.000008054039,0.0001206599,0.0000913902,0.00000734416,0.0007254814,0.006270543,0.9677337,0.003200005,0.02127595,0.000268222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570308,0.01139928,0.02817786,0.0003209283,0.0002070332,0.0007319849,0.00002091812,0.0005621741,0.001549035],"genre_scores_gemma":[0.9937553,0.0002868902,0.0002097439,0.00001337787,0.0001268953,0.000154511,0.00009352831,0.00008209264,0.005277694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3686917,"threshold_uncertainty_score":0.9999886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005590718482419055,"score_gpt":0.1897727547160354,"score_spread":0.1841820362336163,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}